Sensor fusion-based visual target tracking for autonomous vehicles with the out-of-sequence measurements solution

Jia, Z; Balasuriya, A; Challa, S

Sensor fusion-based visual target tracking for autonomous vehicles with the out-of-sequence measurements solution

Jia, Z Balasuriya, A Challa, S

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Publisher:: Elsevier Science Bv
Publication Type:: Journal Article
Citation:: Robotics And Autonomous Systems, 2008, 56 (2), pp. 157 - 176
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Jia, Z	en_US
dc.contributor.author	Balasuriya, A	en_US
dc.contributor.author	Challa, S	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Robotics And Autonomous Systems, 2008, 56 (2), pp. 157 - 176	en_US
dc.identifier.issn	0921-8890	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15322
dc.description.abstract	In this paper, a novel algorithm is proposed for the visual target tracking by Autonomous Guide Vehicles (AGV). This paper proposes a sensor data fusion system to estimate the dynamics of the target. Optical flow vectors, colour features, stereo pair dis	en_US
dc.publisher	Elsevier Science Bv	en_US
dc.relation.ispartof	Robotics And Autonomous Systems	en_US
dc.relation.isbasedon	10.1016/j.robot.2007.05.014	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	Sensor fusion-based visual target tracking for autonomous vehicles with the out-of-sequence measurements solution	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	56	en_US
utslib.location.activity	ISI:000253553300004	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0913 Mechanical Engineering	en_US
dc.location.activity	ISI:000253553300004	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	2	en_US
pubs.volume	56	en_US

Abstract:

In this paper, a novel algorithm is proposed for the visual target tracking by Autonomous Guide Vehicles (AGV). This paper proposes a sensor data fusion system to estimate the dynamics of the target. Optical flow vectors, colour features, stereo pair dis

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http://hdl.handle.net/10453/15322